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How Quantum Computing Can Tackle Climate and Energy Challenges - Eos

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Many important problems related to how Earth’s climate works, as well as how we can produce and use energy more efficiently, require extraordinarily complex calculations to address them. Simulating the nuanced effects of ever-shifting clouds on climate fits into this category, as does evaluating a vast array of materials to optimize photovoltaic production or energy storage. Such problems are becoming increasingly difficult to solve with classical computers running programs based on binary codes, especially as the scale of the necessary computations grows. For this reason, many problems are tackled using models that rely on approximations (e.g., parameterizations of climate-influencing processes like cloud formation or climate-influenced phenomena like hurricanes) to reduce computational expense. The trade-off for this capability, however, is that these models are not as precise as we’d like them to be. And even with these approximations, supercomputers are approaching the limits of co

Many important problems related to how Earth’s climate works, as well as how we can produce and use energy more efficiently, require extraordinarily complex calculations to address them. Simulating the nuanced effects of ever-shifting clouds on climate fits into this category, as does evaluating a vast array of materials to optimize photovoltaic production or energy storage. Such problems are becoming increasingly difficult to solve with classical computers running programs based on binary codes, especially as the scale of the necessary computations grows. For this reason, many problems are ta

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